CN111855509A - Cell monitoring system based on bone marrow cell differentiation - Google Patents
Cell monitoring system based on bone marrow cell differentiation Download PDFInfo
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- CN111855509A CN111855509A CN202010728983.6A CN202010728983A CN111855509A CN 111855509 A CN111855509 A CN 111855509A CN 202010728983 A CN202010728983 A CN 202010728983A CN 111855509 A CN111855509 A CN 111855509A
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- 210000004027 cell Anatomy 0.000 title claims abstract description 47
- 238000012544 monitoring process Methods 0.000 title claims abstract description 35
- 230000024245 cell differentiation Effects 0.000 title claims abstract description 26
- 210000002798 bone marrow cell Anatomy 0.000 title claims abstract description 13
- 238000001514 detection method Methods 0.000 claims abstract description 26
- 238000010191 image analysis Methods 0.000 claims abstract description 22
- 238000003709 image segmentation Methods 0.000 claims abstract description 18
- 230000005540 biological transmission Effects 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims description 11
- 238000002360 preparation method Methods 0.000 claims description 9
- 210000001185 bone marrow Anatomy 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 6
- 210000002889 endothelial cell Anatomy 0.000 claims description 3
- 210000003630 histaminocyte Anatomy 0.000 claims description 3
- 210000004698 lymphocyte Anatomy 0.000 claims description 3
- 210000003593 megakaryocyte Anatomy 0.000 claims description 3
- 210000001616 monocyte Anatomy 0.000 claims description 3
- 210000001539 phagocyte Anatomy 0.000 claims description 3
- 210000004180 plasmocyte Anatomy 0.000 claims description 3
- 210000001995 reticulocyte Anatomy 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 abstract description 2
- 230000014509 gene expression Effects 0.000 description 3
- 210000003714 granulocyte Anatomy 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 108090000623 proteins and genes Proteins 0.000 description 2
- 210000003651 basophil Anatomy 0.000 description 1
- 210000000601 blood cell Anatomy 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000032459 dedifferentiation Effects 0.000 description 1
- 210000003979 eosinophil Anatomy 0.000 description 1
- 230000000925 erythroid effect Effects 0.000 description 1
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- 230000000877 morphologic effect Effects 0.000 description 1
- 210000000066 myeloid cell Anatomy 0.000 description 1
- 230000007935 neutral effect Effects 0.000 description 1
- 210000004765 promyelocyte Anatomy 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
- G01N15/1429—Electro-optical investigation, e.g. flow cytometers using an analyser being characterised by its signal processing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
- G01N15/1429—Electro-optical investigation, e.g. flow cytometers using an analyser being characterised by its signal processing
- G01N15/1431—Electro-optical investigation, e.g. flow cytometers using an analyser being characterised by its signal processing the electronics being integrated with the analyser, e.g. hand-held devices for on-site investigation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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Abstract
The invention discloses a cell monitoring system based on bone marrow cell differentiation, which comprises a sample processing module, a detection processing module, a real-time monitoring module, an image transmission module, an image segmentation module, an image picking module, an image analysis module and an automatic reading module. The monitoring system provided by the invention is visual and simple, is convenient to control, monitors in real time, automatically calculates, reduces the amount of manual labor, displays the calculation results in a variety of ways, is convenient to master and understand the change trend of the cells, provides data support for cell differentiation, and is suitable for popularization.
Description
Technical Field
The invention relates to the technical field of medical image monitoring, in particular to a cell monitoring system based on bone marrow cell differentiation.
Background
Because of physiological variation and different investigation data, the ratio of cells in each stage of the normal marrow picture is in a larger range, so the actual meaning of the normal marrow picture is the normal range marrow picture, and the decline data can be used as the reference of the normal values of various blood cells in a marrow smear: the proportion of the granulocytic system is the greatest, about 1/2. Typically <0.02 for primitive granulocytes, <0.05 for promyelocytes, with the most neutral rod-shaped nuclei, in a ratio greater than that of lobular nuclei and greater than that of metaplastic granulocytes, <0.05 for eosinophils, and <0.01 for basophils; cell differentiation refers to the process by which cells of the same origin gradually produce populations of cells with different morphological, structural and functional characteristics, resulting in spatial differences between cells and temporal differences between the same cell and its previous state. The essence of cell differentiation is the selective expression of the genome in time and space, with the expression of different genes turned on or off, ultimately producing marker proteins. In general, the process of cell differentiation is irreversible, however, under certain conditions, the differentiated cell is unstable, and the gene expression pattern may change reversibly and return to its undifferentiated state, which is called dedifferentiation; the existing bone marrow cell differentiation monitoring is to record the observed cell morphology quantity by naked eyes, record again after a period of time, and detect the cell differentiation process by recording data, but the method has overlarge labor intensity, high working intensity, low data acquisition accuracy, overlong time interval, is easy to miss the cell differentiation process, manual calculation cannot be fast, and the display mode and data display have single display morphology and are not convenient to understand and analyze, so that a cell monitoring system based on bone marrow cell differentiation is provided for solving the problems.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides a cell monitoring system based on bone marrow cell differentiation.
The invention provides a cell monitoring system based on bone marrow cell differentiation, which comprises a sample processing module, a detection processing module, a real-time monitoring module, an image transmission module, an image segmentation module, an image picking module, an image analysis module and an automatic reading module, the output end of the sample processing module is connected with the input end of the detection processing module, the output end of the detection processing module is also connected with the output end of the real-time monitoring module, the output end of the real-time monitoring module is also connected with the input end of the image transmission module, the output end of the image transmission module is connected with the input end of the image segmentation module, the output end of the image segmentation module is connected with the input end of the image picking module, the output end of the image picking module is connected with the input end of the image analysis module, and the output end of the image analysis module is connected with the input end of the automatic reading module.
Preferably, the automatic reading module further comprises a data acquisition unit, a data calculation unit, a sample table making unit and a data display unit, wherein the output end of the data acquisition unit is connected with the input end of the data calculation unit, the output end of the data calculation unit is connected with the input end of the sample table making unit, and the output end of the sample table making unit is connected with the input end of the data display unit.
Preferably, the sample processing module is used for processing the sampled cells, the processing includes bone marrow sampling, bone marrow smear preparation and smear color, and the detection processing module is used for placing the processed cell carriers into the observation device for detection, wherein the observation device adopts a low power lens.
Preferably, the real-time monitoring module is configured to monitor the cell differentiation process observed by the detection processing module in real time, display a detection result in a picture mode, transmit the picture to the image transmission module, and transmit the picture to the image segmentation module by the image transmission module.
Preferably, the image segmentation module automatically segments the received image in the system, segments the image according to different categories of cell morphology including granulocytic cell line, erythrocytic cell line, megakaryocyte and monocyte, lymphocyte, plasma cell, reticulocyte, endothelial cell, tissue basophil and phagocyte, and transmits the segmented image data to the image extraction module.
Preferably, the image picking module is used for extracting cell forms to be detected by the system and uploading the extraction results to the image analysis module, and the image analysis module is used for analyzing and monitoring changes of the cell form quantity and uploading the change results to the automatic reading module.
Preferably, the data acquiring unit is configured to receive a cell morphology quantity change value analyzed by the image analysis module, and transmit the received value to the data calculating unit, the data calculating unit is configured to calculate a value comparison change amount, and display the change amount in a graph form by the sample table making unit, and the data displaying unit is configured to display the graph made by the sample table making unit.
The invention discloses a cell monitoring system based on marrow cell differentiation, which detects the cell differentiation process through a sample processing module, a detection processing module, a real-time monitoring module, an image transmission module, an image segmentation module, an image picking module, an image analysis module and an automatic reading module, wherein the sample to be detected is processed through the sample processing module, the detection is carried out through the detection processing module, the observed cell change image is transmitted in real time through the real-time monitoring module in the detection process, the obtained picture information is extracted and analyzed through the image segmentation module, the image picking module and the image analysis module, and the result is deleted to the automatic reading module, wherein the image analysis module also comprises a data acquisition unit, a data calculation unit, a sample table making unit and a data display unit, the automatic reading module calculates the changed cell value through the data acquisition unit and the data calculation unit, the value is drawn through the sample table making unit, so that the value is displayed in a chart frame value mode, the display is more vivid and concrete, and the cell change trend can be conveniently understood and mastered. The monitoring system provided by the invention is visual and simple, is convenient to control, monitors in real time, automatically calculates, reduces the amount of manual labor, displays the calculation results in a variety of ways, is convenient to master and understand the change trend of the cells, provides data support for cell differentiation, and is suitable for popularization.
Drawings
FIG. 1 is a schematic block diagram of a bone marrow cell differentiation-based cell monitoring system according to the present invention;
FIG. 2 is a block diagram of a partial structure of a cell monitoring system based on myeloid cell differentiation according to the present invention.
Detailed Description
The present invention will be further illustrated with reference to the following specific examples.
Examples
Referring to fig. 1-2, a cell monitoring system based on bone marrow cell differentiation comprises a sample processing module, a detection processing module, a real-time monitoring module, an image transmission module, an image segmentation module, an image extraction module, an image analysis module and an automatic reading module, wherein the output end of the sample processing module is connected with the input end of the detection processing module, the output end of the detection processing module is also connected with the output end of the real-time monitoring module, the output end of the real-time monitoring module is also connected with the input end of the image transmission module, the output end of the image transmission module is connected with the input end of the image segmentation module, the output end of the image segmentation module is connected with the input end of the image picking module, the output end of the image picking module is connected with the input end of the image analysis module, and the output end of the image analysis module is connected with the input end of the automatic reading module.
In this embodiment, the automatic reading module further includes a data acquisition unit, a data calculation unit, a sample preparation unit and a data display unit, an output end of the data acquisition unit is connected to an input end of the data calculation unit, an output end of the data calculation unit is connected to an input end of the sample preparation unit, an output end of the sample preparation unit is connected to an input end of the data display unit, the sample processing module is configured to process the sampled cells, the processing includes bone marrow sampling, bone marrow smear preparation and smear color, the detection processing module is configured to place the processed cell carrier in the observation device for detection, wherein the observation device employs a low power lens, the real-time monitoring module is configured to monitor a cell differentiation process observed by the detection processing module in real time, display a detection result in a picture manner, and transmit the picture to the image transmission module, the image transmission module transmits the image to the image segmentation module, the image segmentation module automatically segments the received image in the system and segments the image according to different categories of cell morphology, the cell morphology comprises a granulocyte line, a erythroid line, a megakaryocyte, a monocyte, a lymphocyte, a plasma cell, a reticulocyte, an endothelial cell, a tissue basophil and a phagocyte, the segmented image data are transmitted to the image picking module, the image picking module is used for extracting the cell morphology required to be detected by the system and uploading the extraction result to the image analysis module, the image analysis module is used for analyzing and monitoring the change of the cell morphology quantity and uploading the change result to the automatic reading module, the data acquisition unit is used for receiving the cell morphology quantity change value analyzed by the image analysis module and transmitting the received value to the data calculation unit, the data calculation unit is used for calculating the numerical value comparison variable quantity and displaying the variable quantity in a chart form through the sample table making unit, and the data display unit is used for displaying the chart made by the sample table making unit.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. A cell monitoring system based on bone marrow cell differentiation comprises a sample processing module, a detection processing module, a real-time monitoring module, an image transmission module, an image segmentation module, an image picking module, an image analysis module and an automatic reading module, it is characterized in that the output end of the sample processing module is connected with the input end of the detection processing module, the output end and the input end of the detection processing module are also connected with the output end of the real-time monitoring module, the output end of the real-time monitoring module is also connected with the input end of the image transmission module, the output end of the image transmission module is connected with the input end of the image segmentation module, the output end of the image segmentation module is connected with the input end of the image picking module, the output end of the image picking module is connected with the input end of the image analysis module, and the output end of the image analysis module is connected with the input end of the automatic reading module.
2. The bone marrow cell differentiation-based cell monitoring system according to claim 1, wherein the automatic reading module further comprises a data acquisition unit, a data calculation unit, a sample preparation unit and a data display unit, wherein the output end of the data acquisition unit is connected with the input end of the data calculation unit, the output end of the data calculation unit is connected with the input end of the sample preparation unit, and the output end of the sample preparation unit is connected with the input end of the data display unit.
3. The bone marrow cell differentiation based cell monitoring system according to claim 1, wherein said sample processing module is used for processing the sampled cells, the processing includes bone marrow sampling, bone marrow smear preparation and smear color, said detection processing module is used for placing the processed cell carrier into a viewing device for detection, wherein the viewing device adopts a low power lens.
4. The system of claim 1, wherein the real-time monitoring module is configured to monitor the cell differentiation process observed by the detection processing module in real time, display the detection result by means of a picture, and transmit the picture to the image transmission module, and the image transmission module transmits the picture to the image segmentation module.
5. The system of claim 1, wherein the image segmentation module is configured to segment the received image according to different categories of cell morphology including granulocytic lineage, erythrocytic lineage, megakaryocyte and monocyte, lymphocyte, plasma cell, reticulocyte, endothelial cell, tissue basophil, and phagocyte, and transmit the segmented image data to the image extraction module.
6. The system as claimed in claim 1, wherein the image picking module is used to extract the cell morphology to be detected and upload the extraction result to the image analysis module, and the image analysis module is used to analyze and monitor the change of the cell morphology quantity and upload the change result to the automatic reading module.
7. The system of claim 2, wherein the data acquiring unit is configured to receive a cell morphology quantity change value analyzed by the image analysis module and transmit the received value to the data calculating unit, the data calculating unit is configured to calculate a value comparing change quantity and display the change quantity in a graph form through the sample table making unit, and the data displaying unit is configured to display the graph made by the sample table making unit.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113671024A (en) * | 2021-07-01 | 2021-11-19 | 诸暨市人民医院 | B10 cell detection device |
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| CN104459172A (en) * | 2014-11-28 | 2015-03-25 | 武汉兰丁医学高科技有限公司 | Automatic bone marrow sample processing device, and automated analyzing and radiograph reading method thereof |
| CN109191434A (en) * | 2018-08-13 | 2019-01-11 | 阜阳师范学院 | Image detecting system and detection method in a kind of cell differentiation |
| CN110283782A (en) * | 2019-06-27 | 2019-09-27 | 昆明医科大学第二附属医院 | A kind of method for building up of human marrow mesenchymal stem cell strain and induction differentiation application |
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- 2020-07-27 CN CN202010728983.6A patent/CN111855509A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102199536A (en) * | 2010-03-23 | 2011-09-28 | 上海坤巨科技发展有限公司 | Apparatus and method for monitoring cell quantity or cell proportion during dynamic stem cell differentiation |
| CN102297833A (en) * | 2011-06-08 | 2011-12-28 | 武汉兰丁医学高科技有限公司 | Method for determination of content of various cells in human blood or bone marrow |
| CN104459172A (en) * | 2014-11-28 | 2015-03-25 | 武汉兰丁医学高科技有限公司 | Automatic bone marrow sample processing device, and automated analyzing and radiograph reading method thereof |
| CN109191434A (en) * | 2018-08-13 | 2019-01-11 | 阜阳师范学院 | Image detecting system and detection method in a kind of cell differentiation |
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Application publication date: 20201030 |